DeepForest
Detects individual tree crowns in aerial RGB imagery
- Field
- Forestry & vegetation
- Method
- Deep learning
- Data it takes
- imagery
- License
- MIT
DeepForest detects individual tree crowns in overhead RGB imagery, returning bounding boxes. It ships pretrained on NEON airborne data, so temperate forest imagery can be processed without additional labeling. Other canopy types generally require fine-tuning.
It suits projects with drone or aerial photography but no lidar.
Catalog entry last checked 2026-08-17. All models →
Run DeepForest on your data
The lab runs this on its own compute, in a container, with the inputs and parameters recorded alongside the result. Initial scoping conversations are free.
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